Scikit-learn Reviews

Expr Code Editor Reviews

Scikit-learn mentions (40)

• Detecting Ingress Tool Transfer (T1105) with Python

  Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / 2 months ago

• Best AI Cybersecurity Training for Security Teams: How to Pick

  Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 3 months ago

• Where to Get Hands-On AI Training for Cybersecurity Professionals

  Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 3 months ago

• How Anomaly Detection Actually Works in Security Operations

  Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 4 months ago

• Building a Personalized Meal Recommendation System

  In practice, you’ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 6 months ago

Expr Code Editor mentions (3)

• Your LLM can scrape the web — locally, without writing throwaway code

  The key line is the nested URL: {{{FromExp=fromJSON(fRes).author_key[0]}}} is an expr-lang expression evaluated against the current item (fRes) — parse it, take the first author key, splice it into the URL. Anything expr-lang can compute can become part of a request: pick a field, concatenate, add an offset, branch on a condition. And notice the output shape: each book keeps its own scalar fields while the... - Source: dev.to / 19 days ago

• I got tired of paying JFrog for a secure OpenTofu / Terraform registry so I built my own

  With OIDC enabled you can leverage fine-grained access control through GroupBinding custom resources. Use the Expr language to bind the groups claim in a user's JWT to specific modules or providers. The moduleResources field also supports glob patterns:. - Source: dev.to / 3 months ago

• Evaluation in Tony Format

  Expressions are evaluated with expr-lang, a Go expression evaluator. Variables come from the threaded environment:. - Source: dev.to / 6 months ago